Ubiquitous Location Based Services (u-LBS) will soon be able to issue very important services. They can define that recognizing object position at anytime, anywhere. At present, many researchers are making a brisk study of the position recognition and tracking.
This paper is position recognition monitoring and user identification system. Position recognition monitoring is based on Local Based Services (LBS). User identification system automatically controls instruments which is located in home and freely measures body signal. We experiment at Home Health Management trial laboratory in YONSEI University.
We implemented multi-hop routing methods using the Star-Mesh networks. Also, we use the sensor devices which are satisfied with the IEEE 802.15.4 standard requirements. Used devices are Nano-24 modules in Octacomm Co.
Received Signal Strength Indicator (RSSI) is very important factor in position recognition analysis. it makes use of the way that decides position recognition and user identification in narrow indoor space. In experiments, we can analyze properties of the RSSI and draw the parameter about position recognition. Experimental results are that RSSI value is attenuated according to increasing distances and it can derive properties of the Radio Frequency (RF) signals. Moreover, we express monitoring program using Microsoft C#.
Finally, the proposed methods are expected to protect sudden death and accident in home.